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A Latent Structure Approach to Measuring Reputation

Listed author(s):
  • Kwamena K. Quagrainie

    (Aquaculture/Fisheries Center, University of Arkansas at Pine Bluff)

  • Jill J. McCluskey


    (Department of Agricultural and Resource Economics, Washington State University)

  • Maria L. Loureiro

    (Department of Agricultural and Resource Economics, Colorado State University)

The present study provides estimates of reputation as a dynamic latent variable that is determined by price premiums and market data. Further, it analyzes the effect of extrinsic factors on reputation. Specifically, this study seeks to (i) quantify the reputation of Washington apples over time, (ii) study the dynamic nature of reputation, and (iii) analyze the effect of the label “Washington Apple.” The model adopted in this study is the dynamic multiple-indicator multiple-cause (DYMIMIC) modeling approach, which is a special case of the general latent variable modeling scheme called “state-space” models. Both DYMIMIC and hedonic approaches are applied to the data on Washington apples, and results from the two approaches are compared.

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Article provided by Southern Economic Association in its journal Southern Economic Journal.

Volume (Year): 69 (2003)
Issue (Month): 4 (April)
Pages: 966-977

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Handle: RePEc:sej:ancoec:v:69:4:y:2003:p:966-977
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